Senior Data Analyst- World wide support
- Analyze technical support data to identify trends in case volume, backlog, resolution time, escalations, and customer experience
- Segment and diagnose performance by factors such as issue type, priority, product, region, support tier, and ownership
- Define, maintain, and evolve operational KPIs and performance metrics
- Identify risks and opportunities related to workload, service levels, and customer outcomes
- Design and maintain interactive dashboards and reports using enterprise visualization tools
- Create visualizations that emphasize trends, drivers, and leading indicators rather than static metrics
- Translate complex analyses into clear, executive-ready narratives
- Tailor insights and visualizations for different audiences, from operational leaders to executives
- Extract, transform, and analyze support data using SQL and analytics platforms
- Partner with data science teams to support data models, transformations, and integrations
- Understand data refresh cycles, latency, and lineage to ensure reliable and trusted reporting
- Partner with Support leadership to understand business questions and priorities
- Proactively identify opportunities to improve operational performance through data
- Present insights and recommendations to stakeholders across levels and functions
- Act as a trusted analytical advisor to leadership
- Establish and document metric definitions and reporting standards
- Ensure consistency and accuracy across dashboards and reports
- Improve analytical frameworks as business needs and Support operations evolve
- Promote best practices in analytics, data visualization, and governance
- Bachelor’s degree in Economics/Business, Statistics, Mathematics, Data Science, Analytics, or a related field
- 3+ years of experience in a data analytics role, ideally supporting a Support or Operations organization
- Full professional fluency in English
- Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker, or similar)
- Proficiency in SQL for data extraction and analysis
- Experience with Python or R for advanced modeling
- Ability to work with large, complex datasets and draw meaningful conclusions
- Strong communication skills with the ability to explain analytical findings to non-technical audiences
- Ability to work effectively across global teams, with strong initiative to independently identify data owners, track down information, and build cross-functional relationships
- Experience working with product managers related to improving product supportability highly preferred
- Experience analyzing support or customer service data (e.g., case management systems, CRM platforms)
- Familiarity with support KPIs such as productivity, SLA attainment, backlog aging, TTR, NPS and CSAT
- Exposure to data modeling, data warehousing concepts, or ETL processes
- Experience influencing stakeholders and driving change through insights
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Nutanix is an equal opportunity employer.
Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status or any other category protected by applicable law. We hire and promote individuals solely on the basis of qualifications for the job to be filled. We strive to foster an inclusive working environment that enables all our Nutants to be themselves and to do great work in a safe and welcoming environment, free of unlawful discrimination, intimidation or harassment. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need a reasonable accommodation, please let us know by contacting [email protected].